ML / Fine-Tuning Engineer (Hyderabad)

ML / Fine-Tuning Engineer (Hyderabad)

09 Sep
|
DataEconomy
|
Hyderabad

09 Sep

DataEconomy

Hyderabad

Job Title:ML / Fine-Tuning Engineer
Location: Hyderabad OR Pune
Notice Period : 0-30 Days
Mode of Work:Hybrid
Experience :5+ Years

We are looking for ML / Fine-Tuning Engineer who can deliver (under supervision of ProServe Tech Lead) the end-to-end fine-tuning of open-source LLMs for a narrow, high-volume production task on AWS — SFT and alignment experiments (GRPO, DPO), debugging training on multi-GPU clusters, and iterating to strict accuracy targets. Models from 8B to 70B parameters.

What We Expect:
Fine-tune open-source LLMs (Qwen, Llama) from experiment to production-ready checkpoint
Run SFT and RL alignment (GRPO, DPO) to improve output accuracy
Execute training on AWS GPU instances (p4d, p5, g5) using distributed training
Diagnose/fix training issues: loss imbalances, OOM errors, gradient instabilities
Collaborate with evaluation and data engineering to iterate on quality gaps
Make data-driven model scaling decisions (8B → 14B → 70B) based on offline metrics

Requirements
Experience: 5+ years ML engineering, with 2+ years in LLM fine-tuning
LLM Models:



Hands-on with open-source LLMs — Qwen and Llama required
Training Methods: SFT, LoRA/QLoRA, GRPO, DPO/RLHF
Frameworks: NVIDIA NeMo/NeMoRL, VeRL, HuggingFace TRL — must have used at least two
Distributed Training: DeepSpeed ZeRO, FSDP2, multi-node GPU orchestration
AWS Infrastructure: p4d/p5/g5 GPU instances, SageMaker Training Jobs
Languages: Python, PyTorch; CUDA debugging a plus
Preferred (Not Required): Fine-tuning for tool-calling/agent tasks; multi-node GRPO/RLHF with NeMoRL or VeRL; tokenizer internals and chat-template rendering for tool-use formats.

Perks
Comprehensive Medical Coverage:
Health insurance of INR 5.0 Lakhs for you and your family (up to 6 members), ensuring complete peace of mind.
Robust Protection Plans:
Group Personal Accident Insurance and Group Term Life Insurance to safeguard you and your loved ones.
Retirement Benefits:
PF and Gratuity provided as per standard government regul

📌 ML / Fine-Tuning Engineer (Hyderabad)
🏢 DataEconomy
📍 Hyderabad

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